CN107134191A - Vehicle operator training system - Google Patents
Vehicle operator training system Download PDFInfo
- Publication number
- CN107134191A CN107134191A CN201710112716.4A CN201710112716A CN107134191A CN 107134191 A CN107134191 A CN 107134191A CN 201710112716 A CN201710112716 A CN 201710112716A CN 107134191 A CN107134191 A CN 107134191A
- Authority
- CN
- China
- Prior art keywords
- vehicles
- training
- information
- standard
- program
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
- G09B9/02—Simulators for teaching or training purposes for teaching control of vehicles or other craft
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B19/00—Teaching not covered by other main groups of this subclass
- G09B19/16—Control of vehicles or other craft
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Aviation & Aerospace Engineering (AREA)
- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
- Traffic Control Systems (AREA)
Abstract
The example of the disclosure is related to the automation vehicles that may be used as vehicle operator training system.The ability for providing training experience entirely autonomous in real world environments can be had by having both the vehicles of sensor, actuator, Infotainment and/or communication function.The vehicles can manage, monitor and communicate with vehicle operator to carry out ability training and/or for particular vehicle feature, subcharacter, situation be motor-driven and/or checking of target.
Description
Technical field
Present application relates generally to may be used as the automatic traffic instrument (vehicle) of vehicle operator training system.
Background technology
Racing car and flight simulator can train their operator in low-risk environment using the valuable of the equipment
The instrument of value.These devices be typically it is expensive and independently of will by the study such as operator, pilot target vehicle.
Had the disadvantage using the simulator for training another, they can not be reproduced in what training in the true vehicles was provided completely
True environment.In addition, operator needs to be responsible for directly interacting with third party, their vehicle operation ability for confirmation
(for example, driver training and test).
The content of the invention
The example of the disclosure is related to the automation vehicles that may be used as vehicle operator training system.Have both biography
Sensor, actuator, the vehicles of Infotainment and/or communication function can have provide in real world environments completely from
The ability of main training experience.The vehicles can manage, monitor and communicate with carrying out ability instruction with vehicle operator
Practice and/or for the checking of particular vehicle feature, subcharacter, situation motor-driven (maneuver) and/or target.
Brief description of the drawings
Fig. 1 shows the example arrangement of the vehicle operator training system according to the example of the disclosure；
Fig. 2 show according to the example of the disclosure provide that vehicle operator trains in a vehicle it is exemplary
Method；
Fig. 3 shows the system block diagram of the example according to the disclosure.
Embodiment
In the description of the example below, accompanying drawing is with reference to, the accompanying drawing forms the part of the application, wherein the side for passing through explanation
Formula shows the specific example that can implement.It should be appreciated that in the case where not departing from the scope of disclosed example, can make
With other examples and structural change can be carried out.
The example of the disclosure is related to the automation vehicles that may be used as vehicle operator training system.Have both biography
Sensor, actuator, the vehicles of Infotainment and/or communication function can have provide in real world environments completely from
The ability of main training experience.The vehicles can manage, monitor and communicate with carrying out ability instruction with vehicle operator
Practice and/or for particular vehicle feature, subcharacter, situation be motor-driven and/or checking of target.Exemplary training program can
With including Parallel parking, and on highway, change the gear of manual transmission, racing car is driven on racing track, moves backward and connects
Trailer is closed, driver training and test is integrated, in Parking, emergency vehicle, bad weather drives, limitation processing, and
Driven with commercial trailer/loading goods etc..
Fig. 1 shows the example arrangement of the vehicle operator training system according to the example of the disclosure.At some
In example, the vehicles can include the Training Control device realized with hardware (for example, one or more processors) and/or software
104.Training Control device 104 can be docked in order to training program with other assemblies.Training Control device 104 can be from being locally stored
Device obtains specific training program (for example, program 102 of local or side loaded), and the training program can be preloaded in system
In, or by user's side loaded of system.In some instances, can be via the communication network of such as internet from long-range system
System (for example, stream internet program 100) obtains specific training program.
As described in more detail below, training program can include being used to controlling and/or responding vehicle sensors
106th, the instruction of vehicles actuator 108 and/or feedback mechanism (mechanism) 110.
Vehicle sensors 106 can be provided on the vehicles and traffic to Training Control device 104 during the training period
The information of tool environment, and training program can specify the response to the information from sensor collection (for example, triggering one or
Multiple actuators 108 and/or one or more more feedback mechanisms 110).Training program can specify the monitoring of Training Control device special
Particular value/condition/standard of sensor is determined, then in response to these value/condition/criteria triggers actuators or feedback mechanism.
Feedback mechanism 110 can be triggered in response to the instruction of training program.For example, instruction can be presented in display device
Training program starts and the user interface of training information/instruction is provided to operator 112, can be in response to from sensor
Indicate the vehicles to collide the information in roadside and play audio-alert and/or can be grasped in response to the instruction from actuator
Author beats the information of wheel in the direction of mistake and triggers touch feedback, etc. on the steering wheel.
Vehicles actuator 108 can provide input (for example, indicating that operator is manipulating actuating to Training Control device
The information of device (such as steering wheel or gas pedal)) and/or from Training Control device receive by training program instruction produce it is defeated
Go out (for example, training program can automatically manipulate steering wheel and/or pedal etc.).
For example, Parallel parking training program can include first step：Move forward by desired parking stall until handing over
The vehicles before logical instrument and desired parking stall are side by side.The program may begin to be used for presenting on the display apparatus
The instruction at family interface, request operator move forward, until the vehicles directly with the vehicles before desired parking stall
Side by side.
During first step, program can include being used for operated actuator preventing operator's steering wheel rotation until this
The instruction that first step is completed.Program can also include instruction, for when user drives monitor sensor (for example, radar,
LIDAR (laser radar), video camera etc.) once and vehicle directly with the vehicles before desired parking stall side by side via anti-
Infeed mechanism (for example, visually indicating on display, audio instruction etc.) notifies operator.
In addition, program can include instruction, for monitoring sensor to determine the position of the vehicles, and if operate
Vehicle of the person without successfully mobile traffic and directly before desired parking stall side by side, manipulates gas pedal, braking
The vehicles are manipulated to appropriate location by the actuator of device and/or steering wheel.
In some instances, operator succeeds or the vehicles can not be moved to appropriate location and can be recorded and be transfused to
Into the report on driving ability and/or it is sent to third party, for example driver training tissue or for issuing driver
The government organs of license.In some instances, when the vehicles can record and report the reaction of additional information, such as operator
Between.
In some instances, training program can serve as simple oolhiu interactive user handbook (for example, how instructing operator
Open air-conditioning or carry out windshield demisting etc.).
Fig. 2 show according to the example of the disclosure provide that vehicle operator trains in a vehicle it is exemplary
Method.The vehicles can include one or more feedback mechanisms, one or more sensors and one or more actuators.Hand over
Logical instrument can be determined based on the first information from one or more sensors the environment of (200) vehicles if appropriate for
In the first training program.For example, the vehicles may need to determine that the parking stall of opening exists before Parallel parking training is started
Near, or the vehicles may need start highway and road training before determine nearby there is expressway access circle
Road.The determination can be based on the position via the GPS vehicles obtained, or based on other vehicles around the vehicles
Or the object recognized such as roadside, painted line etc..Information from one or more sensors can be included from GPS sensings
One or more of positional information of device and neighbouring object information from video camera, LIDAR or proximity transducer etc..
In response to determining that environment is suitable for the first training program, the vehicles can call (202) to include multiple training steps
The first rapid training program.Calling can include starting the training program having stored on the vehicles, and/or it can be wrapped
Include by communication network (such as internet) and to download some or all programs or program resource from remote server.
The vehicles can provide (204) feedback via one or more feedback mechanisms, instruct the operator of the vehicles
Perform first training step associated with the first training program.One of following or many persons can be included by providing feedback：Handing over
Presentation user interface with explanation operator (for example, need what does for the first training step on the display device of logical instrument
The user interface of text, the vision for potentially including the image for such as illustrating first step or video is helped), in the side of the vehicles
There is provided on to disk touch feedback (if for example, operator in wrong direction steering wheel rotation as defined in training step or
Steering wheel rotation to mistake steering angle, then can vibrate) and/or on the loudspeaker of the vehicles play audio (for example, retouching
The audio of the first training step is stated, may be produced by Text To Speech algorithm according to the text associated with the first training step
It is raw).
During the first training step, the vehicles can be directed to associated with the first training step of the first training program
Multiple standards monitor second information of (206) from one or more sensors and one or more actuators.To multiple
The monitoring of standard can include one or more of following：Determine the vehicles position whether with the first training step
(for example, with as above trained in Parallel parking described in the vehicles side by side) in the threshold distance of associated target location,
Determine the vehicles steering wheel steering angle whether the target diversion angle associated with the first training step threshold value
It is interior, and/or determine throttle or brake pedal whether according to being depressed of specifying of the first training step, etc..
According to the second information of the first standard met in multiple standards, the vehicles can be via one or more feedbacks
Mechanism provides (208) feedback associated with the first standard.If for example, the second information indicates that operator goes to wheel
The incorrect steering angle as defined in training step, then the vehicles can be with direction of vibration disk with incorrect to operator's instruction
Steering angle.In another example, if the second information indicates that the vehicles are parked in distance objective position by operator
Threshold distance in, then can play audible feedback on the loudspeaker of the vehicles, thus to operator notify first step
It is successfully completed.
According to the second information of the second standard (being different from the first standard) met in multiple standards, the vehicles can root
According to the response associated with the second standard, manipulate (210) one or more actuators to manipulate the vehicles automatically.For example, such as
Really the second information indicates that the vehicles are parked in outside the threshold distance away from target location by operator, then the vehicles can be with
By manipulating throttle, brake and/or steering wheel are automatically manipulated to target location, are trained so that the vehicles be taken to
Next training step desired position in program.In some instances, target location can be the target parking of the vehicles
Position.In some instances, target location can be relative position.For example, in highway and road training, target location can be with
Be relative to track paint border lane center, but can be not limited to by such as GPS position hardware determine it is absolute
Position.
Fig. 3 shows the system block diagram of the example according to the disclosure.Vehicle control system 500 can be performed with reference to figure
Any method of 1 to Fig. 2 description.System 500 is desirably integrated into the vehicles, such as consumer car.Can integrated system 500
The other examples vehicles include but is not limited to aircraft, ship or industrial automotive.Vehicle control system 500 can include vehicle-mounted
Computer 510.Car-mounted computer 510 can include storage device 512, memory 516 and processor 514.Processor 514 can be with
Perform any method described referring to figs. 1 to Fig. 2.In addition, storage device 512 and/or memory 516 can be stored for performing
Data and instruction referring to figs. 1 to Fig. 2 any methods described.Storage device 512 and/or memory 516 can be any non-
Transitory computer readable storage medium, solid state hard disc or hard disk drive etc..Vehicle control system 500 can also be wrapped
Include the controller 520 for the one or more aspects that can control vehicle operation.
In some instances, vehicle control system 500 can (for example, via controller 520) be connected to traffic work
One or more of tool actuator system 530.One or more actuator systems 530 can include but is not limited to motor 531
Or engine 532, battery system 533, transmission device 534, suspension arrangement 535, brake 536, steering 537, door system
538 and lamp system 544.Extra actuator system 530 can include but is not limited to key chain button, adaptive learning algorithms,
Preposition video camera, look around video camera, rearview mirror control, the lock locking/unlocking of door, turn signal, windscreen wiper, radio reception
Machine button, vehicle illumination, window, door/luggage case/bonnet switch, airconditioning control and/or stability control.
In some instances, vehicle control system 500 can include one or more sensors 20, including but not limit
In：Accelerometer 22, the acceleration for determining the vehicles；Steering angle sensor 24, for determining from the instruction vehicles
Front-wheel be parallel and directed straight ahead centre position measurement steering wheel angle；G or gravity sensor 26, for true
The gravity direction of the fixed plane relative to vehicle chassis；Yaw detector 28, for determining chassis relative to travel direction
Direction；Speedometer 30, the present speed for determining the vehicles；Rain sensor 32, for determine the vehicles whether
Run in the rain；Sensor 34 is hung, the rigidity for determining suspension；Voltage sensor 36, for measuring cell voltage；Electric current is passed
Sensor 38, the electric current of battery is flowed in or out for measuring；Gps receiver 40, for from GPS satellite system received bit confidence
Breath；One or more video cameras 42, for outwardly and inwardly monitoring；And tachometer 44.Extra sensor can include but
Be not limited to occupant classification (for example, which lose one's seat use and occupant classification, such as adult/pediatric /), blind monitoring
And/or ambient light/tunnel sensor.
Although having fully described the example of the disclosure referring to the drawings, it should be noted that variations and modifications pair
It will be apparent in those skilled in the art.Such change and modifications is understood to include by appended claims
In the range of the example of the disclosure of restriction.
Claims (9)
1. a kind of method for providing vehicle operator training in a vehicle, the vehicles include one or more
Feedback mechanism, one or more sensors and one or more actuators, methods described include：
Based on the first information from one or more of sensors, determine that the environment of the vehicles is appropriate for
One training program；
In response to determining that the environment is suitable for first training program, first instruction including multiple training steps is called
Practice program；
There is provided via one or more of feedback mechanisms and instruct the operator of the vehicles to perform and the described first training
The feedback of the first associated training step of program；
For the multiple standards associated with first training step of first training program, monitoring is from one
Or the second information of multiple sensors and one or more of actuators；
According to second information of the first standard met in the multiple standard, via one or more of feedback mechanisms
The feedback associated with first standard is provided；And
According to second information of the second standard met in the multiple standard, according to associated with second standard
Response manipulates one or more of actuators to manipulate the vehicles automatically.
2. according to the method described in claim 1, wherein the first information and institute from one or more of sensors
The second information is stated including the positional information from GPS sensor and from video camera, laser radar LIDAR or proximity transducer
One or more of neighbouring object information.
3. method according to claim 2, wherein the object information nearby is included on one or more traffic nearby
The information of instrument.
4. according to the method described in claim 1, wherein providing feedback includes one of following or many persons：
The presentation user interface on the display device of the vehicles；Tactile is provided on the steering wheel of the vehicles anti-
Feedback；And play audio on the loudspeaker of the vehicles.
5. according to the method described in claim 1, wherein manipulating one or more actuators includes manipulating the vehicles
One or more of brake, gas pedal and steering wheel.
6. according to the method described in claim 1, wherein, the monitoring of the multiple standard is included one of following or many
Person：
Determine the vehicles position whether the target location associated with first training step threshold distance
It is interior；Determine the steering angle of steering wheel of the vehicles whether in the target diversion associated with first training step
In the threshold value of angle, and determine whether throttle or brake pedal are depressed according to as defined in first training step.
7. according to the method described in claim 1, wherein the response associated with second standard includes automatically to
The vehicles are manipulated to the target location associated with first training step.
8. a kind of computer-readable recording medium of store instruction, the instruction is when by including one or more feedback mechanisms, one
When the one or more processors of the vehicles of individual or multiple sensors and one or more actuators are performed, make the traffic
Instrument performs the method that vehicle operator training is provided in the vehicles, and methods described includes：
Based on the first information from one or more of sensors, determine that the environment of the vehicles is appropriate for
One training program；
In response to determining that the environment is suitable for first training program, first instruction including multiple training steps is called
Practice program；
There is provided via one or more of feedback mechanisms and instruct the operator of the vehicles to perform and the described first training
The feedback of the first associated training step of program；
For the multiple standards associated with first training step of first training program, monitoring is from one
Or the second information of multiple sensors and one or more of actuators；
According to second information of the first standard met in the multiple standard, via one or more of feedback mechanisms
The feedback associated with first standard is provided；And
According to second information of the second standard met in the multiple standard, according to associated with second standard
Response manipulates one or more of actuators, to manipulate the vehicles automatically.
9. a kind of vehicles, including：
One or more processors；
One or more feedback mechanisms；
One or more sensors；
One or more actuators；And
The memory of store instruction, the instruction performs the vehicles when by one or more of computing devices
The method that vehicle operator training is provided in the vehicles, methods described includes：
Based on the first information from one or more of sensors, determine that the environment of the vehicles is appropriate for
One training program；
In response to determining that the environment is suitable for first training program, first instruction including multiple training steps is called
Practice program；
There is provided via one or more of feedback mechanisms and instruct the operator of the vehicles to perform and the described first training
The feedback of the first associated training step of program；
For the multiple standards associated with first training step of first training program, monitoring is from one
Or the second information of multiple sensors and one or more of actuators；
According to second information of the first standard met in the multiple standard, via one or more of feedback mechanisms
The feedback associated with first standard is provided；And
According to second information of the second standard met in the multiple standard, according to associated with second standard
Response manipulates one or more of actuators, to manipulate the vehicles automatically.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201662301548P | 2016-02-29 | 2016-02-29 | |
| US62/301,548 | 2016-02-29 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107134191A true CN107134191A (en) | 2017-09-05 |
Family
ID=59679769
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710112716.4A Pending CN107134191A (en) | 2016-02-29 | 2017-02-28 | Vehicle operator training system |
Country Status (2)
| Country | Link |
|---|---|
| US (1) | US10699596B2 (en) |
| CN (1) | CN107134191A (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10375290B2 (en) * | 2017-11-20 | 2019-08-06 | Ross Video Limited | Video equipment control |
| DE102018202514A1 (en) * | 2018-02-20 | 2019-08-22 | Bayerische Motoren Werke Aktiengesellschaft | System and method for automatically creating a video of a trip |
| US11302217B2 (en) | 2019-01-17 | 2022-04-12 | Toyota Motor North America, Inc. | Augmented reality dealer vehicle training manual |
| EP3866141A1 (en) | 2020-02-11 | 2021-08-18 | Alan Shuman | Method of teaching how to operate accessories of a vehicle |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101687481A (en) * | 2007-06-19 | 2010-03-31 | 标致·雪铁龙汽车公司 | Interactive method for helping the driver of a motor vehicle to adopt an economical driving style and vehicle using this method |
| CN101730911A (en) * | 2007-07-13 | 2010-06-09 | 沃尔沃建筑设备公司 | A method for providing an operator of a vehicle with operating information |
| CN103221665A (en) * | 2010-11-26 | 2013-07-24 | 丰田自动车株式会社 | Driving support system and driving support managing device |
| WO2014042572A1 (en) * | 2012-09-17 | 2014-03-20 | Volvo Lastvagnar Aktiebolag | Method for providing a context based coaching message to a driver of a vehicle |
| US20150353093A1 (en) * | 2012-07-03 | 2015-12-10 | Ford Global Technologies, Llc | Driver training interface |
| CN205003902U (en) * | 2015-08-19 | 2016-01-27 | 福建凯智信息技术有限公司 | Motor vehicle driver skill training electron train system |
Family Cites Families (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7085637B2 (en) * | 1997-10-22 | 2006-08-01 | Intelligent Technologies International, Inc. | Method and system for controlling a vehicle |
| US9008854B2 (en) * | 1995-06-07 | 2015-04-14 | American Vehicular Sciences Llc | Vehicle component control methods and systems |
| US20060284839A1 (en) * | 1999-12-15 | 2006-12-21 | Automotive Technologies International, Inc. | Vehicular Steering Wheel with Input Device |
| JP3758140B2 (en) * | 2001-07-09 | 2006-03-22 | 日産自動車株式会社 | Information presentation device |
| US7239949B2 (en) * | 2003-02-26 | 2007-07-03 | Ford Global Technologies, Llc | Integrated sensing system |
| CA2614917C (en) * | 2005-07-12 | 2014-02-04 | Eastern Virginia Medical School | System and method for automatic driver evaluation |
| US7860813B2 (en) * | 2008-01-24 | 2010-12-28 | Nec Laboratories America, Inc. | Monitoring driving safety using semi-supervised sequential learning |
| US9646509B2 (en) * | 2009-09-29 | 2017-05-09 | Advanced Training Systems Llc | System, method and apparatus for driver training system with stress management |
| US9457810B2 (en) * | 2009-10-21 | 2016-10-04 | Berthold K. P. Horn | Method and apparatus for reducing motor vehicle traffic flow instabilities and increasing vehicle throughput |
| WO2012040426A2 (en) * | 2010-09-22 | 2012-03-29 | Edward Fredkin | Traffic negotiation system |
| DE102010061829A1 (en) * | 2010-11-24 | 2012-05-24 | Continental Teves Ag & Co. Ohg | Method and distance control device for avoiding collisions of a motor vehicle in a driving situation with a small side clearance |
| US20140276090A1 (en) * | 2011-03-14 | 2014-09-18 | American Vehcular Sciences Llc | Driver health and fatigue monitoring system and method using optics |
| DE102011018580A1 (en) * | 2011-04-26 | 2012-10-31 | Audi Ag | Karftfahrzeug comprising a driver assistance system |
| US8589062B2 (en) * | 2011-07-13 | 2013-11-19 | Dynamic Research, Inc. | Devices, systems, and methods for testing crash avoidance technologies |
| DE102013210941A1 (en) * | 2013-06-12 | 2014-12-18 | Robert Bosch Gmbh | Method and device for operating a vehicle |
-
2017
- 2017-02-28 CN CN201710112716.4A patent/CN107134191A/en active Pending
- 2017-02-28 US US15/445,761 patent/US10699596B2/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101687481A (en) * | 2007-06-19 | 2010-03-31 | 标致·雪铁龙汽车公司 | Interactive method for helping the driver of a motor vehicle to adopt an economical driving style and vehicle using this method |
| CN101730911A (en) * | 2007-07-13 | 2010-06-09 | 沃尔沃建筑设备公司 | A method for providing an operator of a vehicle with operating information |
| CN103221665A (en) * | 2010-11-26 | 2013-07-24 | 丰田自动车株式会社 | Driving support system and driving support managing device |
| US20150353093A1 (en) * | 2012-07-03 | 2015-12-10 | Ford Global Technologies, Llc | Driver training interface |
| WO2014042572A1 (en) * | 2012-09-17 | 2014-03-20 | Volvo Lastvagnar Aktiebolag | Method for providing a context based coaching message to a driver of a vehicle |
| CN205003902U (en) * | 2015-08-19 | 2016-01-27 | 福建凯智信息技术有限公司 | Motor vehicle driver skill training electron train system |
Also Published As
| Publication number | Publication date |
|---|---|
| US20170249856A1 (en) | 2017-08-31 |
| US10699596B2 (en) | 2020-06-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10401854B2 (en) | Vehicle and a control method thereof | |
| JP7263233B2 (en) | Method, system and program for detecting vehicle collision | |
| US10532746B2 (en) | Vehicle and controlling method thereof | |
| US11167772B2 (en) | Disabling onboard input devices in an autonomous vehicle | |
| US9919741B2 (en) | Autonomous driving vehicle | |
| KR102137213B1 (en) | Apparatus and method for traning model for autonomous driving, autonomous driving apparatus | |
| US10705522B2 (en) | Method for controlling operation system of a vehicle | |
| US11774964B2 (en) | Vehicle remote instruction system | |
| US11054818B2 (en) | Vehicle control arbitration | |
| US10843722B2 (en) | Systems and methods for controlling an input device of an autonomous vehicle | |
| US20190283774A1 (en) | Travel control apparatus, vehicle, travel control system, travel control method, and storage medium | |
| WO2018163456A1 (en) | Driving mode switching control device, method, and program | |
| CN107134191A (en) | Vehicle operator training system | |
| US20200198660A1 (en) | Road Vehicle and Method for Reengaging Manual Driving | |
| CN111223479A (en) | Operation authority control method and related equipment | |
| KR102331882B1 (en) | Method and apparatus for controlling an vehicle based on voice recognition | |
| GB2551436A (en) | Adaptive rear view display | |
| DE102021116309A1 (en) | ASSISTANCE FOR DISABLED DRIVERS | |
| WO2019039280A1 (en) | Information processing apparatus, information processing method, program, and vehicle | |
| US20210333869A1 (en) | Vehicle control device and vehicle control method | |
| CN113614805A (en) | Display control device, display control method, and program | |
| WO2021251468A1 (en) | Image processing device | |
| US10437244B2 (en) | Remote vehicle insturction | |
| US20240123953A1 (en) | Vehicle brake control | |
| WO2024043053A1 (en) | Information processing device, information processing method, and program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170905 |